Engineering the impossible since now

Software. AI.
Deeptech at arc-light speed.

Starktrace Labs builds intelligent systems for industries where the stakes are physical, the constraints are real, and the future has to ship.

  • 109parameters in production
  • 24/7autonomous operations
  • 0compromises on rigor
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01 — Capabilities

Full-stack deeptech from silicon to UX.

Four disciplines, one engineering culture. We compose teams across them so problems move forward instead of sideways.

01

Applied AI

Foundation-model fine-tuning, multi-modal pipelines, retrieval & agents wired into real operations — not demos.

  • LLM systems
  • Computer vision
  • Agentic workflows
02

Software at scale

Cloud-native platforms, real-time data fabrics and developer tooling engineered for ten-year horizons.

  • Distributed systems
  • Event & stream
  • Platform engineering
03

Deeptech R&D

Robotics, edge compute, simulation and signal processing — where bits meet atoms and tolerances matter.

  • Robotics & control
  • Embedded & edge
  • Simulation
04

Product & design

Interfaces that make complex systems feel inevitable. From control rooms to consumer surfaces.

  • Systems UX
  • 3D & realtime
  • Brand engineering

02 — Doctrine

We build the unreasonable
on a foundation of ruthless rigor.

No theatre. No magic. Just compounding engineering, instrumented end-to-end, shipped before the meeting ends.

03 — Labs

Where research meets the production line.

Platforms

The sovereign substrate underneath everything we field — AI, autonomy and the plumbing that keeps it trustworthy under load.

Robotics

Uncrewed systems from simulation to the field. Airframes and ground platforms that hold the mission when the link drops.

Signals

Advanced sensing and edge inference across the spectrum. Noisy reality in, a decisive picture out — in milliseconds.

04 — Stack

A pragmatic, battle-tested stack.

We pick what survives production. The rest is ornament.

05 — Initiate

Got an unreasonable problem?

Tell us what's hard. We'll tell you what we'd build.